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cs.LG2022★ 9 cited
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Konstantin Sozykin, Andrei Chertkov, Roman Schutski +3
We present a novel procedure for optimization based on the combination of efficient quantized tensor train representation and a generalized maximum matrix volume principle. We demo…
cs.LG2019
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics
Taras Khakhulin, Roman Schutski, Ivan Oseledets
We propose a Reinforcement Learning based approach to approximately solve the Tree Decomposition (TD) problem. TD is a combinatorial problem, which is central to the analysis of gr…